PHD ON DEEP LEARNING IN LIFELONG LEARNING AND GENERATIVE MODELS IN BARCELONA

DESCRIPTION OF JOB:We are seeking a PhD to join the Learning and Machine Perception (LAMP) team in beautiful Barcelona. The position is for 4 years. The position will remain open until a good candidate is found. LAMP is in the Computer Vision Center at the Universitat Autònoma de Barcelona and performs research on active learning, continual learning, few-shot learning, generative models, encoder-decoder networks, self-supervised learning, etc. The position is on an industrially sponsored project with 2 postdocs and four PhD students. The subjects include lifelong learning (continual learning), generative models, network compression, multi-model data representation learning.

PROJECT SUPERVISOR & HOSTING GROUPJoost van de Weijer will be the supervisor. He is the leader of the Learning and Machine Perception (LAMP) team at the CVC.

CANDIDATE ’S PROFILEThe candidate should hold a Masters degree or equivalent. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and independence.

FUNDING CONDITIONSLiving allowance of 15-20k€/year (gross salary).

CONTACT AND CONTACT EMAIL:Interested applicants should email their CV (preferably with contact information of 2 references) and transcript of university course grades to Dr. Joost van de Weijer (joost@cvc.uab.es). Also for any other inquiries please contact Joost van de Weijer.

THE COMPUTER VISION CENTERThe selected candidate will work in the Computer Vision Centre (CVC), Barcelona, a research institute comprising more than 100 researchers and support staff, dedicated to computer vision research and knowledge transfer. With a strong international projection and links to the industry, the Computer Vision Centre offers an exciting environment for scientific career development. The Computer Vision Centre has a plan for expansion of its permanent research staff base, and has received the “HR Excellence in Research” award as a provider and supporter of a stimulating and favorable working environment.